与人工智能协作说服：检验大型语言模型生成支持疫苗信息的能力

人工智能（AI）正在改变通信和消息策略，有望颠覆传统方法。大型语言模型（LLM）作为AI的一种形式，能够生成高质量、类似人类的文本。我们研究了AI生成消息的说服力质量，以了解AI如何影响公共健康消息传递。具体而言，通过一系列旨在表征和评估生成式AI开发公共健康消息的研究，我们分析了GPT-3生成的COVID-19支持疫苗消息，GPT-3是大型语言模型的尖端代表。研究1是对GPT-3生成支持疫苗消息能力的系统评估。研究2 then observed peoples' perceptions of curated GPT-3-generated messages compared to human-authored messages released by the CDC, finding that GPT-3 messages were perceived as more effective, stronger arguments, and evoked more positive attitudes than CDC messages. Finally, Study 3 assessed the role of source labels on perceived quality, finding that while participants preferred AI-generated messages, they expressed dispreference for messages that were labeled as AI-generated. The results suggest that with human supervision AI can be used to create effective public health messages, but that individuals prefer their public health messages to come from human institutions rather than AI sources. We propose best practices for assessing generative outputs of large language models in future social science research and the ways health professionals can use AI systems to augment public health messaging.